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New insight to preserve online survey accuracy and privacy in big data era

Journal Article


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Abstract


  • An online survey system provides a convenient way for people to conduct surveys. It removes the necessity of human resources to hold paper surveys or telephone interviews and hence reduces the cost significantly. Nevertheless, accuracy and privacy remain as the major obstacles that need additional attention. To conduct an accurate survey, privacy maybe lost, and vice versa. In this paper, we provide new insight to preserve these two seeming contradictory issues in online survey systems especially suitable in big data era. We propose a secure system, which is shown to be efficient and practical by simulation data. Our analysis further shows that the proposed solution is desirable not only in online survey systems but also in several potential applications, including E-Voting, Smart-Grid and Vehicular Ad Hoc Networks. © 2014 Springer International Publishing Switzerland.

  • An online survey system provides a convenient way for people to conduct surveys. It removes the necessity of human resources to hold paper surveys or telephone interviews and hence reduces the cost significantly. Nevertheless, accuracy and privacy remain as the major obstacles that need additional attention. To conduct an accurate survey, privacy maybe lost, and vice versa. In this paper, we provide new insight to preserve these two seeming contradictory issues in online survey systems especially suitable in big data era. We propose a secure system, which is shown to be efficient and practical by simulation data. Our analysis further shows that the proposed solution is desirable not only in online survey systems but also in several potential applications, including E-Voting, Smart-Grid and Vehicular Ad Hoc Networks. © 2014 Springer International Publishing Switzerland.

UOW Authors


  •   Liu, Joseph K. (external author)
  •   Au, Man Ho Allen (external author)
  •   Huang, Xinyi (external author)
  •   Susilo, Willy
  •   Zhou, Jianying (external author)
  •   Yu, Yong (external author)

Publication Date


  • 2014

Citation


  • Liu, J. K., Au, M., Huang, X., Susilo, W., Zhou, J. & Yu, Y. (2014). New insight to preserve online survey accuracy and privacy in big data era. Lecture Notes in Computer Science, 8713 182-199.

Scopus Eid


  • 2-s2.0-84906495257

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4098&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3082

Has Global Citation Frequency


Number Of Pages


  • 17

Start Page


  • 182

End Page


  • 199

Volume


  • 8713

Place Of Publication


  • Germany

Abstract


  • An online survey system provides a convenient way for people to conduct surveys. It removes the necessity of human resources to hold paper surveys or telephone interviews and hence reduces the cost significantly. Nevertheless, accuracy and privacy remain as the major obstacles that need additional attention. To conduct an accurate survey, privacy maybe lost, and vice versa. In this paper, we provide new insight to preserve these two seeming contradictory issues in online survey systems especially suitable in big data era. We propose a secure system, which is shown to be efficient and practical by simulation data. Our analysis further shows that the proposed solution is desirable not only in online survey systems but also in several potential applications, including E-Voting, Smart-Grid and Vehicular Ad Hoc Networks. © 2014 Springer International Publishing Switzerland.

  • An online survey system provides a convenient way for people to conduct surveys. It removes the necessity of human resources to hold paper surveys or telephone interviews and hence reduces the cost significantly. Nevertheless, accuracy and privacy remain as the major obstacles that need additional attention. To conduct an accurate survey, privacy maybe lost, and vice versa. In this paper, we provide new insight to preserve these two seeming contradictory issues in online survey systems especially suitable in big data era. We propose a secure system, which is shown to be efficient and practical by simulation data. Our analysis further shows that the proposed solution is desirable not only in online survey systems but also in several potential applications, including E-Voting, Smart-Grid and Vehicular Ad Hoc Networks. © 2014 Springer International Publishing Switzerland.

UOW Authors


  •   Liu, Joseph K. (external author)
  •   Au, Man Ho Allen (external author)
  •   Huang, Xinyi (external author)
  •   Susilo, Willy
  •   Zhou, Jianying (external author)
  •   Yu, Yong (external author)

Publication Date


  • 2014

Citation


  • Liu, J. K., Au, M., Huang, X., Susilo, W., Zhou, J. & Yu, Y. (2014). New insight to preserve online survey accuracy and privacy in big data era. Lecture Notes in Computer Science, 8713 182-199.

Scopus Eid


  • 2-s2.0-84906495257

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4098&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3082

Has Global Citation Frequency


Number Of Pages


  • 17

Start Page


  • 182

End Page


  • 199

Volume


  • 8713

Place Of Publication


  • Germany